India against COVID19

Status	Crowd Source	Ministry of Health and Family Welfare
Deceased	31	273
Hospitalized	8781	7409
Recovered	154	765
Total	8967	8447

Different cross sections of COVID19 data

Progression

Statewise progression of the cumulative number of cases against the number of days since first report

Data: Crowd sourced

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaTimeseriesAnimation.R

Pan India

Daily growth rate

The solid lines are smoothed conditional means, which indicated the overall trend. The dots and the soft lines represent actual data.

Growth rate is calculated as:

\[G_{current} = (Total_{previous}- Total_{current})/Total_{previous}\]

Daily Growth rate of COVID19 cases in India

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaGrowthRate_v2.R

New cases per day

Code: https://github.com/Impactech/COVID19_India/blob/master/DailyNewCasesIndia.R

Cumulative

Total number of COVID19 cases in India by Date

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaCumulativeCases_v2.R

Weekly

Since the daily growth rate can be noisy, it may be helpful to see the weekly mean of daily growth rate to identify the tapering.

The Weekly mean of daily growth rate is calculated as follows:

\[ G_{WeeklyMean} = NewCases_{CurrentWeek}*100/(Sunday_{Previous} - Sunday_{Latest})*Cumulative_{PreviousWeek} \]

Statewise

Statewise growth in cumulative number of cases.

Statewise Split

Data: Crowd sourced

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaTimeseries_v3.R

State wise split of cumulative number of cases as per last update.

Statewise Split

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaStateWise.R

Agewise

Agewise split of cases in India

Data available for 1199 cases

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaAgewise.R